Structural Equation Modeling of Motorcycle Gasohol 95 Consumption
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Published:
Dec 4, 2018
Keywords:
Structural Equation Modeling Motorcycle Gasohol 95
Main Article Content
Abstract
The purpose of this research was to analyze factors that affecting gasohol 95 consumption for motorcycles. The sample size consisted of 510 motorcyclists who used gasohol 95 in Muang District, Nakhon Ratchasima Province. The Structural Equation Modeling was used for analyzing data. The research results found that the final structural equation model of gasohol 95 consumption for the motorcycle was consistent with the empirical data. Factors affecting the consumption of gasohol 95 for motorcycles consisted of seven factors that could be sorted from highest to lowest as follows: first-information factor, second-gas station factor, third-satisfaction factor, fourth-alternative evaluation factor, fifth-purchase decision factor, sixth-price factor, and seventh-public relations factor. All factors had a positive direct effect on gasohol 95 consumption. Also, they could explain the variance in the consumption of gasohol 95 for motorcycles at 86.5 percent.
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How to Cite
Tongdechasamart, J. (2018). Structural Equation Modeling of Motorcycle Gasohol 95 Consumption. NKRAFA JOURNAL OF SCIENCE AND TECHNOLOGY, 14, 33–44. Retrieved from https://ph02.tci-thaijo.org/index.php/nkrafa-sct/article/view/159296
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References
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[31] Doloi, H., Iyer, K.C., & Sawhney, A. (2011). Structural Equation Model for Assessing Impacts of Contractor’s Performance on Project Success. International Journal of Project Management, 29(6): 687-695.
[32] Doloi, H., Sawhney, A., & Iyer, K.C. (2012). Structural Equation Model for Investigating Factors Affecting Delay in Indian Construction Projects. Construction Management and Economics, 30(10): 869-884.
[33] Ab Hamid, M.R., Sami, W., & Mohmad Sidek, M.H. (2017). Discriminant Validity Assessment: Use of Fornell & Larcker Criterion Versus HTMT Criterion. Journal of Physics: Conference Series 890.
[34] Santos Neto, A.S., Dantas, M.J.P., & Machado, R.L. (2017). Structural Equation Modeling Applied to Assess Industrial Engineering Students’ Satisfaction According to ENADE 2011. Production, 27(spe).
[35] Curran, P.J., West, S.G., & Finch, J.H. (1996). The Robustness of Test Statistics to Nonnormality and Specification Error in Confirmatory Factor Analysis. Journal of Psychological Methods, 1(1): 16–29.
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[2] Ministry of Energy, Department of Alternative Energy Development and Efficiency. (2016). Final Energy Consumption by Economic Sector. Retrieved March 25, 2017, from http://www.dede. go.th/download/state_59/200358_consumtion.pdf
[3] Ministry of Energy, Department of Alternative Energy Development and Efficiency. (2016). Final Energy Consumption. Retrieved March 25, 2017, from http://www.dede.go.th/ewt_news.php?nid=42079
[4] Ministry of Energy, Energy Policy and Planning Office. (2017). Commercial Primary Energy Import. Retrieved March 25, 2017, from http://www.workactually.co.th/eppostat2017.html
[5] Ministry of Energy, Energy Policy and Planning Office. (n.d.). Bioenergy. Retrieved March 25, 2017, from http://www.eppo.go.th/royal/m1700_0020.html
[6] National Statistical Office. (n.d.). Sales Energy by Type of Fuel Year: 2007–2016. Retrieved March 25, 2017, from http://statbbi.nso.go.th/ staticreport/Page/sector/TH/report/sector_13_12_TH_.mht
[7] Department of Land Transport. (2017). Number of Vehicle Registered as of February 28, 2017. Retrieved April 2, 2017, from https://data.go.th/ DatasetDetail.aspx?id=0affb243-e426-4b95-9eb3 -ae578bfbcd34
[8] Ministry of Energy, Department of Energy Business. (2015). Oil Plan 2015–2036. Retrieved March 26, 2017, from http://www.eppo.go.th/ images/POLICY/PDF/oil_ plan58-79.pdf
[9] Tongdechasamart J., Vongchavalitkul S., and Khodphan M. (2018). Factor Analysis of Using Biofuels for Motorcycle. In Proceedings of the 4th National Research Conference Northern College (210–214). Tak: Northern College.
[10] Boomsma, A. (1985). Nonconvergence, Improper Solutions, and Starting Values in LISREL Maximum Likelihood Estimation. Journal Psychometrika, 50(2): 229–242.
[11] Kline, R.B. (1998). Principles and Practice of Structural Equation Modelling. 3rd Ed. New York: Guilford Press.
[12] Loehlin, J.C. (1998). Latent Variable Models: An Introduction to Factor, Path, and Structural Analysis. New Jersey: Lawrence Erlbaum Associates.
[13] Nunnally, J.C. (1967). Psychometric Theory. New York: McGraw-Hill.
[14] Bentler, P.M. & Chou, C.H. (1987). Practical Issues in Structural Modeling. Journal of Sociological Methods & Research, 16: 78–117.
[15] Bollen, K.A. (1989). Structural Equations with Latent Variables. New York: John Wiley.
[16] Hair, J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2010). Multivariate Data Analysis. 7th Ed. New Jersey: Pearson Prentice-Hall International Inc.
[17] Schumacher, R.G., & Lomax, R.G. (2010). Beginner’s Guide to Structural Equation Modeling. 3rd Ed. New York: Routledge.
[18] Kotler, P. (2002). Marketing Management Millenium Edition. Boston: Pearson Custom Publishing.
[19] Serirat, S. (2007). Consumer Behavior. Bangkok: Theera film & Scitex.
[20] Lertharn, K. (2009). Factors Influencing a Transition from Mainstream Energy to Alternative Energy: A Case Study of Gasohol Technology for Passenger Cars in Bangkok. (Master Dissertation, Thammasat University).
[21] Putsom, W. (2011). A Study of Alternative Forms of Energy Consuming Behavior of the Car Owner in Saraburi. University of the Thai Chamber of Commerce Journal, 31(2): 38–52.
[22] Chakatit, A. (2013). The Marketing Factors Effecting Truck Buyer’s Loyalty in the Southern Bordered Provincial Cluster. (Doctoral Dissertation, Christian University of Thailand).
[23] Kuwatanavanit, A. (2013). The Comparison Study of Selecting Behavior of Using Alternative Fuel of Private Vehicles: Between NGV and LPG in Phra Nakhon Si Ayutthaya Province. In Bangkok University Research Conference(478-485). Bangkok: Bangkok University.
[24] Wachirakomen, P. & Ativetin, T. (2015). Cognitive, Innovation Adoption Process, Attitudes and Behaviors toward Gasohol Fuel of Drivers in Bangkok. Srinakharinwirot Business Journal, 6(1): 39-52.
[25] Lilarungrot, N. (2016). The Study is about the Factors Affecting the Behaviors of Selecting NGV for Personal Car’s Engine in Nakhon Pathom Province. Sripatum Chonburi Journal, 12(6): 176-182.
[26] Vanichbuncha, K. (2014). Structural Equation Modeling (SEM) by AMOS. 2nd Ed. Bangkok: Three Lada.
[27] Kovacic, N., Topolsek, D., & Dragan, D. (2015). Tourism Sector, Travel Agencies, and Transport Suppliers: Comparison of Different Estimators in the Structural Equation Modeling. Journal of Logistics & Sustainable Transport, 6(1): 11-24.
[28] Mueller, R.O. (1996). Basic Principles of Structural Equation Modeling. New York: Springer-Verlag.
[29] Ma, Z., Pi, G., Dong, X., & Chen, C. (2017). The Situation Analysis of Shale Gas Development in China-Based on Structural Equation Modeling. Renewable and Sustainable Energy Reviews, 67: 1300-1307.
[30] Mai, L.W., & Ness, M.R. (2006). A Structural Equation Model of Customer Satisfaction and Future Purchase of Mail-Order Speciality Food. International Journal of Business Science and Applied Management, 1(1): 1-13.
[31] Doloi, H., Iyer, K.C., & Sawhney, A. (2011). Structural Equation Model for Assessing Impacts of Contractor’s Performance on Project Success. International Journal of Project Management, 29(6): 687-695.
[32] Doloi, H., Sawhney, A., & Iyer, K.C. (2012). Structural Equation Model for Investigating Factors Affecting Delay in Indian Construction Projects. Construction Management and Economics, 30(10): 869-884.
[33] Ab Hamid, M.R., Sami, W., & Mohmad Sidek, M.H. (2017). Discriminant Validity Assessment: Use of Fornell & Larcker Criterion Versus HTMT Criterion. Journal of Physics: Conference Series 890.
[34] Santos Neto, A.S., Dantas, M.J.P., & Machado, R.L. (2017). Structural Equation Modeling Applied to Assess Industrial Engineering Students’ Satisfaction According to ENADE 2011. Production, 27(spe).
[35] Curran, P.J., West, S.G., & Finch, J.H. (1996). The Robustness of Test Statistics to Nonnormality and Specification Error in Confirmatory Factor Analysis. Journal of Psychological Methods, 1(1): 16–29.
[36] Suhr, D. (2006). The Basics of Structural Equation Modeling. Presented: SAS User Group of the Western Region of the United States. Irvine: California.
[37] Hoe, S.L. (2008). Issues and Procedures in Adopting Structural Equation Modeling Technique. Journal of Applied Quantitative Methods, 3(1): 76-83.